Prediction for high-risk symptoms of lung cancer in Malaysia using fuzzy linear regression model
Lung cancer has been recorded as the most common cancer globally, contributing 12.2% of all new cases diagnosed in 2020, with the greatest mortality rate due to its late diagnosis and poor symptom detection. Nowadays, Malaysia has reached 4,319 lung cancer deaths, accounting for 2.57 per cent of all...
Saved in:
Main Author: | Zakaria, Aliya Syaffa |
---|---|
Format: | Thesis |
Language: | English English English |
Published: |
2023
|
Subjects: | |
Online Access: | http://eprints.uthm.edu.my/10971/1/24p%20ALIYA%20SYAFFA%20ZAKARIA.pdf http://eprints.uthm.edu.my/10971/2/ALIYA%20SYAFFA%20ZAKARIA%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/10971/3/ALIYA%20SYAFFA%20ZAKARIA%20WATERMARK.pdf http://eprints.uthm.edu.my/10971/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development of hippocampus MRI image segmentation algorithm for progression detection of alzheimer’s disease (AD)
by: Gilani Mohamed, Mohamed Ahmed
Published: (2022) -
Peer-led group tele-supervision of clinical psychologists: optimization of resources; a Malaysian case study
by: Umi Izzatti Saedon, et al.
Published: (2020) -
The development of a biosensor for the detection of PS II herbicides using green microalgae
by: Maizatul Suriza Mohamed
Published: (2006) -
Acceptance and barriers to pharmacists adoption of smartphone medical apps
by: Ng, Sze Nee
Published: (2015) -
Investigation on hela cells behaviour induced with pulse electric field for wound healing application
by: Milad Zaltum, Mohamed Ahmed
Published: (2017)